S2ALM: A revolutionary model for antibody engineering
Peer-Reviewed Publication
Updates every hour. Last Updated: 19-Nov-2025 04:11 ET (19-Nov-2025 09:11 GMT/UTC)
Artificial intelligence (AI) is reshaping diverse fields in science, with molecular science being no exception. A recent study published in Research (Science Partner Journal) reports S2ALM, a powerful AI tool which uses a step-wise learning approach for a detailed analysis of antibodies. Using both 1D sequence and 3D structural data for antibody learning, the developed model outperforms prior models across key tasks, advancing antibody design for various diseases and redefining the future of therapeutic development.
The complex 3D shapes of brains, lungs, eyes, hands, and other vital bodily structures emerge from the way in which flat 2D sheets of cells fold during embryonic development. Now, researchers at Columbia Engineering have developed a novel way to use light to influence an animal's own proteins in order to control folding in live embryos.
The University of Oklahoma has received a $3 million, five-year grant from the U.S. Army Corps of Engineers to advance natural infrastructure applications.